… a highly dynamic environment with outstanding performance. … service continuity for vehicle
users with high mobility. As a … , “Deep reinforcement learning based resource management …

… propose a hierarchical resource allocation method based on reinforcement learning to solve
… a reinforcement learning method based on policy gradient to solve the action continuity in …

… migrated from the current vehicle to guarantee the continuity of … The highway within the
coverage of the BS is divided into M … Shen, “An SMDPbased resource allocation in vehicular …

… on multi-objective deep reinforcement learning was given, … activate K beams at the same
time to cover N cells ( K ≤ N ) in … into a homogeneous one through continuity or discretization. …

… provides an essential resource for allowing the continuity of … number of resources tries to
maximize its coverage. The … Thus, the resource allocation that we propose is conditioned to …

… Moreover, considering the high-dimensional continuity of the … nature of dynamic VEC
networks, deep reinforcement learning (… adopted for intelligent resource allocation and offloading …

… Machine learning algorithm as a solution has been applied widely in resource allocation,
resource … Through the above three transmission modes, the coverage of the macro base station …

… Due to the centralization, resource management can be … Then, we sort all MDs in the
coverage of the same BS into … average buffer size from a large dynamic range to a relatively …

… m can be covered for … high-dynamic and continuity of system state, we modeled the
optimization problem as an MDP, and proposed a CRL algorithm to find the optimal policy with high …

… ), and consider the continuity of the user state, and design a new Edge Computing … resource
allocation plan. Therefore, we propose a new method based on deep reinforcement learning …